SOC estimation for Li-ion battery using optimum RLS method based on genetic algorithm

2016 ◽  
Author(s):  
Latif Rozaqi ◽  
Estiko Rijanto
Keyword(s):  
Genetic Algorithm ◽  
Li Ion Battery ◽  
Soc Estimation ◽  
Li Ion

Determination of possible configurations for Li0.5CoO2 delithiated Li-ion battery cathodes via DFT calculations coupled with a multi-objective non-dominated sorting genetic algorithm (NSGA-III)

2018 ◽  
Vol 20 (41) ◽  
pp. 26405-26413 ◽  
Author(s):  
Woo Gyu Han ◽  
Woon Bae Park ◽  
Satendra Pal Singh ◽  
Myoungho Pyo ◽  
Kee-Sun Sohn
Keyword(s):  
Genetic Algorithm ◽  
Dft Calculations ◽  
Redox Potential ◽  
Band Gap ◽  
Magnetic Moment ◽  
Band Gap Energy ◽  
Li Ion Battery ◽  
Gap Energy ◽  
Li Ion

A plausible configuration for Li0.5CoO2 was pinpointed using NSGA-III-assisted DFT calculations involving redox potential, band gap energy and magnetic moment.

scholarly journals Li-ion battery SOC estimation method using a Neural Network trained with data generated by a P2D model

2021 ◽  
Vol 54 (10) ◽  
pp. 336-343
Author(s):  
Jean Kuchly ◽  
Alain Goussian ◽  
Mathieu Merveillaut ◽  
Issam Baghdadi ◽  
Sylvain Franger ◽  
...  
Keyword(s):  
Neural Network ◽  
Estimation Method ◽  
Li Ion Battery ◽  
Soc Estimation ◽  
Li Ion

OCV-Ah Integration SOC Estimation of Space Li-Ion Battery

2019 ◽  
pp. 291-299
Author(s):  
Dawei Fu ◽  
Lin Hu ◽  
Xiaojun Han ◽  
Shijie Chen ◽  
Zhong Ren ◽  
...  
Keyword(s):  
Li Ion Battery ◽  
Soc Estimation ◽  
Li Ion

Online State-of-Charge Estimation of Li-Ion Battery Based on the Second-Order RC Model

2013 ◽  
Vol 805-806 ◽  
pp. 1659-1663 ◽  
Author(s):  
Ze Cheng ◽  
Qiu Yan Zhang ◽  
Yu Hui Zhang
Keyword(s):  
Estimation Method ◽  
Equivalent Circuit Model ◽  
Second Order ◽  
State Of Charge ◽  
Battery Management System ◽  
Battery Management ◽  
Li Ion Battery ◽  
Soc Estimation ◽  
Counting Approach ◽  
Li Ion

The real-timely estimation of the SOC (state of charge) is the key technology in Li-ion battery management system. In this paper, to overcome the error of the SOC estimation of Extended Kalman filter (EKF), a new estimation method based on modified-strong tracking filter (MSTF) is applied to SOC estimation of Li-ion battery, based on the second-order RC equivalent circuit model. Experiments are made to compare the new filter with the EKF and Coulomb counting approach (Ah). The simulation results demonstrate that the new filter algorithm MSTF used in this paper has higher filtering accuracy under the same conditions.

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